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Recipes Agent Memory Boundary Pack

recipes_agent_memory_boundary_pack

Return agent memory classes, workflow profiles, TTLs, and persistence decisions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
decisionNo
persistentNo
workflow_idNo
memory_class_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full behavioral burden and mostly fails. 'Return' implies a read, but nothing states whether the four optional inputs act as filters, whether results are scoped by them, or what happens when they are omitted.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler. It is efficient, though it could spend a few more words mapping the four inputs to behavior without becoming bloated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be described, but the invocation side is unaddressed: four optional, nullable parameters with 0% coverage and no annotations leave the agent guessing how to call it meaningfully.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description never explains the four parameters (decision, persistent, workflow_id, memory_class_id). The listed return concepts loosely echo two of them, but there is no mapping and no indication of whether these are filters, selectors, or overrides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Return) and a concrete resource (agent memory classes, workflow profiles, TTLs, persistence decisions). The purpose is legible, but it does nothing to distinguish itself from the surrounding boundary-pack siblings, so an agent cannot tell why it would pick this over recipes_agent_handoff_boundary_pack without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no naming of alternatives among the ~60 sibling tools. The agent is left to infer context entirely from the title and resource list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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